Word concept model for intelligent dialogue agents

Yang Li; Tong Zhang; Stephen E. Levinson

doi:10.1007/3-540-45323-7_75

Word concept model for intelligent dialogue agents

Yang Li, Tong Zhang, Stephen E. Levinson

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

1 Citation (Scopus)

Abstract

Information extraction is a key component in dialogue systems. Knowledge about the world as well as knowledge specific to each word should be used for robust semantic processing. An intelligent agent is necessary for a dialogue system when meanings are strictly defined by using a world state model. An extended concept structure is proposed to represent knowledge associated with each word in a “speech-friendly” way. By considering knowledge stored in the word concept model as well as knowledge base of the world model, meaning of a given sentence can be correctly identified. This paper describes the extended concept structure and how knowledge about words can be stored in this concept model.

Original language	English
Title of host publication	Text, Speech and Dialogue - 3rd International Workshop, TSD 2000, Proceedings
Editors	Petr Sojka, Ivan Kopecek, Karel Pala
Publisher	Springer Verlag
Pages	445-449
Number of pages	5
ISBN (Print)	3540410422, 9783540410423
DOIs	https://doi.org/10.1007/3-540-45323-7_75
Publication status	Published - 2000
Externally published	Yes
Event	3rd International Workshop on Text, Speech and Dialogue, TSD 2000 - Brno, Czech Republic Duration: 13 Sept 2000 → 16 Sept 2000

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1902
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Workshop on Text, Speech and Dialogue, TSD 2000
Country/Territory	Czech Republic
City	Brno
Period	13/09/00 → 16/09/00

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2000.

Access to Document

10.1007/3-540-45323-7_75

Cite this

Li, Y., Zhang, T., & Levinson, S. E. (2000). Word concept model for intelligent dialogue agents. In P. Sojka, I. Kopecek, & K. Pala (Eds.), Text, Speech and Dialogue - 3rd International Workshop, TSD 2000, Proceedings (pp. 445-449). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1902). Springer Verlag. https://doi.org/10.1007/3-540-45323-7_75

Li, Yang ; Zhang, Tong ; Levinson, Stephen E. / Word concept model for intelligent dialogue agents. Text, Speech and Dialogue - 3rd International Workshop, TSD 2000, Proceedings. editor / Petr Sojka ; Ivan Kopecek ; Karel Pala. Springer Verlag, 2000. pp. 445-449 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{517c66b775854d899b325533e4535ce7,

title = "Word concept model for intelligent dialogue agents",

abstract = "Information extraction is a key component in dialogue systems. Knowledge about the world as well as knowledge specific to each word should be used for robust semantic processing. An intelligent agent is necessary for a dialogue system when meanings are strictly defined by using a world state model. An extended concept structure is proposed to represent knowledge associated with each word in a “speech-friendly” way. By considering knowledge stored in the word concept model as well as knowledge base of the world model, meaning of a given sentence can be correctly identified. This paper describes the extended concept structure and how knowledge about words can be stored in this concept model.",

author = "Yang Li and Tong Zhang and Levinson, \{Stephen E.\}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000.; 3rd International Workshop on Text, Speech and Dialogue, TSD 2000 ; Conference date: 13-09-2000 Through 16-09-2000",

year = "2000",

doi = "10.1007/3-540-45323-7\_75",

language = "English",

isbn = "3540410422",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "445--449",

editor = "Petr Sojka and Ivan Kopecek and Karel Pala",

booktitle = "Text, Speech and Dialogue - 3rd International Workshop, TSD 2000, Proceedings",

}

Li, Y, Zhang, T & Levinson, SE 2000, Word concept model for intelligent dialogue agents. in P Sojka, I Kopecek & K Pala (eds), Text, Speech and Dialogue - 3rd International Workshop, TSD 2000, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1902, Springer Verlag, pp. 445-449, 3rd International Workshop on Text, Speech and Dialogue, TSD 2000, Brno, Czech Republic, 13/09/00. https://doi.org/10.1007/3-540-45323-7_75

Word concept model for intelligent dialogue agents. / Li, Yang; Zhang, Tong; Levinson, Stephen E.
Text, Speech and Dialogue - 3rd International Workshop, TSD 2000, Proceedings. ed. / Petr Sojka; Ivan Kopecek; Karel Pala. Springer Verlag, 2000. p. 445-449 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1902).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Word concept model for intelligent dialogue agents

AU - Li, Yang

AU - Zhang, Tong

AU - Levinson, Stephen E.

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2000.

PY - 2000

Y1 - 2000

N2 - Information extraction is a key component in dialogue systems. Knowledge about the world as well as knowledge specific to each word should be used for robust semantic processing. An intelligent agent is necessary for a dialogue system when meanings are strictly defined by using a world state model. An extended concept structure is proposed to represent knowledge associated with each word in a “speech-friendly” way. By considering knowledge stored in the word concept model as well as knowledge base of the world model, meaning of a given sentence can be correctly identified. This paper describes the extended concept structure and how knowledge about words can be stored in this concept model.

AB - Information extraction is a key component in dialogue systems. Knowledge about the world as well as knowledge specific to each word should be used for robust semantic processing. An intelligent agent is necessary for a dialogue system when meanings are strictly defined by using a world state model. An extended concept structure is proposed to represent knowledge associated with each word in a “speech-friendly” way. By considering knowledge stored in the word concept model as well as knowledge base of the world model, meaning of a given sentence can be correctly identified. This paper describes the extended concept structure and how knowledge about words can be stored in this concept model.

UR - https://www.scopus.com/pages/publications/84947588661

U2 - 10.1007/3-540-45323-7_75

DO - 10.1007/3-540-45323-7_75

M3 - Conference Paper published in a book

AN - SCOPUS:84947588661

SN - 3540410422

SN - 9783540410423

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 445

EP - 449

BT - Text, Speech and Dialogue - 3rd International Workshop, TSD 2000, Proceedings

A2 - Sojka, Petr

A2 - Kopecek, Ivan

A2 - Pala, Karel

PB - Springer Verlag

T2 - 3rd International Workshop on Text, Speech and Dialogue, TSD 2000

Y2 - 13 September 2000 through 16 September 2000

ER -

Li Y, Zhang T, Levinson SE. Word concept model for intelligent dialogue agents. In Sojka P, Kopecek I, Pala K, editors, Text, Speech and Dialogue - 3rd International Workshop, TSD 2000, Proceedings. Springer Verlag. 2000. p. 445-449. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45323-7_75

Word concept model for intelligent dialogue agents

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